PeeWee – PrEcisE WEather prEdiction of spontaneous events

Universitatea Transilvania | Romania

Rafaela-Andreea Blaj | Flavius Zichil | Sebastian Dumitru | Bogdan Fatu

PeeWee is the meteorological application of the future that use Machine Learning for processing weather forecasting events with a large resolution (granularity) in order to produce specific and precise weather nowcasting. PeeWee aims to be an expendable solution combining crowd-sourcing and IoT Edge processing with dedicated machine learning algorithms running on high processing power solutions (we aim to demonstrate the solution using Atos Bullsequana S platform alongside Google Cloud).